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    New Haven Multifamily Investment Opportunity Title is generated by Realmo AI

    673 Elm Street, New Haven, CT 06511

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    For Sale
    $539,900

    Three-unit property near Yale University with investment and rental potential.

    Type:Multi-Family / 3 Family
    Property size:
    3,935 SF
    Lot size:
    0.13 Acres
    Price / SF:
    $137/SF
    Added:
    Jan 9, 2026
    Days on Market:
    144
    Last Refresh:
    Mar 13 at 7:09 pm

    Property Features for 673 Elm Street

    General Information

    Standard status
    Active
    Size
    3,935 SF
    Lot size
    0.13 Acres
    Property subtype
    Multi-Family / 3 Family

    Building Details

    Year Built
    1925

    We can help!

    Listing Contact
    Randy M Clarke

    Listing agent Randy M Clarke License #RES.0818621

    Listing office Coldwell Banker Realty

    Listing date Jan 9, 2026

    Source Compass

    Displayed information is deemed reliable but is not guaranteed and should be independently verified.

    All listing content including descriptions, pricing, images are the copyrighted material of Coldwell Banker Realty

    HighLights

    • Prime location near Yale University, offering strong rental demand and walkability to key amenities.
    • Three‑unit multifamily property with approximately 3,935 sq ft of living space, ideal for investors or live‑in landlords.
    • High ceilings, hardwood floors, and spacious kitchens in each unit.
    • Eight total bedrooms and three full bathrooms, providing ample living space.
    • Full basement suitable for laundry and storage.
    • Off‑street parking and a private backyard.

    Overview

    Located in New Haven, CT, 673 Elm Street presents a three-unit multifamily investment opportunity. The property offers approximately 3,935 sq ft of living space on a 5,663 sq ft lot. Constructed in 1925, the building features classic New England architecture. Each unit includes bright interiors, high ceilings, hardwood floors, and spacious kitchens with ample cabinetry. The property comprises a total of 8 bedrooms and 3 full bathrooms. A full basement provides space for laundry or storage. Additional features include off-street parking and a private backyard. The property's location offers walkability to Yale University, Downtown New Haven, restaurants, parks, and public transportation. This location is suited for strong rental demand and cash flow potential. The property is suitable for investors or live-in landlords, and offers flexibility, location, and long-term upside in a sought-after area. The property has not undergone major upgrades, allowing for value enhancement.
    Location Intelligence

    Current Use by Public Records

    Triplexes

    Suggested Use

    Law Firm Restaurant Real Estate Agency Spa & Massage Center Hair Salon Dental Office Nail Salon Food Market Gym & Fitness Center Grocery & Convenience Store

    Zoning and permitted uses should be independently verified with local authorities.

    Location Insight

    • Map
    • Local Demand
    City
    New Haven
    County
    New Haven
    State
    Connecticut
    Longitude
    -72.9436472
    Latitude
    41.3155714

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    FAQs

    What type of property is this?
    Triplex - Three-unit property near Yale University with investment and rental potential.
    Where is this triplex located?
    The property is located at 673 Elm Street New Haven, CT.
    What is the asking price?
    The asking price for this property is $539,900.
    What are key features of this property?
    This property features: Prime location near Yale University, offering strong rental demand and walkability to key amenities.; Three‑unit multifamily property with approximately 3,935 sq ft of living space, ideal for investors or live‑in landlords.; High ceilings, hardwood floors, and spacious kitchens in each unit.
    (203) 589-7856
    We can help!
    Listing Contact
    Randy M Clarke
    Real Estate License ID: RES.0818621
    Learn More
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    Realmo Value Estimations

    Realmo estimates a property’s market value using a proprietary methodology that incorporates public data and user-submitted information. This cumulative value is generated by integrating a variety of conventional and innovative methods. 

    Disclaimer

    These figures are not official appraisals and should not be used as a substitute for a valuation performed by a licensed appraiser.
    Actual market value may differ due to factors not captured in the data. Estimates are offered for informational purposes only, and users should conduct independent research before making financial or investment decisions.
    By using this feature, you acknowledge that Realmo is not responsible for actions taken based on these estimates.

    AI approach

    Realmo AI Method estimates property value using machine learning models trained on millions of comparable listings, transactions, and market signals. It analyzes property features, location intelligence data, and current market dynamics to predict the most probable market value in real time.

    Realmo CapRate Calculation

    Realmo calculates the Capitalization Rate (Cap Rate) to help estimate a property's potential return on investment. The Cap Rate is a fundamental metric in commercial real estate that measures the relationship between a property's net operating income and its market value.

    How We Calculate Cap Rate

    Cap Rate Formula:
    Cap Rate (%) = (Net Operating Income / Property Value) × 100

    Net Operating Income (NOI) Formula:
    NOI = Area × Lease Rate × (1 - Vacancy Rate) × (1 - Operating Expense Ratio)

    Components

    Net Operating Income (NOI) represents the annual income a property generates after operating expenses:

    • Area: Building square footage from property records
    • Lease Rate: Annual $/sqft based on market data for the property type and geographic location
    • Vacancy Rate: Percentage of unoccupied space based on market data for the property type and location
    • Operating Expense Ratio: Operating costs as a percentage of income, varies by property type

    Property Value is derived from:

    • Recent sale price (if available)
    • Statistical models using comparable sales
    • AI-powered valuation estimates

    Example Calculation

    For a 100,000 sqft Office Building:

    • Lease Rate: $25.00/sqft/year (market data for Office in this area)
    • Vacancy Rate: 8% (market data for Office in this area)
    • Operating Expense Ratio: 35% (typical for Office properties)
    • Property Value: $15,000,000

    Step 1: Calculate NOI

    NOI = 100,000 × $25.00 × (1 - 0.08) × (1 - 0.35)
    NOI = 100,000 × $25.00 × 0.92 × 0.65
    NOI = $1,495,000/year

    Step 2: Calculate Cap Rate

    Cap Rate = ($1,495,000 / $15,000,000) × 100
    Cap Rate = 9.97%

    Property Type Considerations

    Net Operating Income calculations vary by property type due to different operating expense ratios:

    • Office: Higher expenses (30-40%) for HVAC, utilities, maintenance
    • Retail: Moderate expenses (25-35%) for common area maintenance
    • Industrial/Warehouse: Lower expenses (15-25%) for minimal tenant services
    • Multifamily: Moderate expenses (35-45%) including property management
    • Self-Storage: Lower expenses (25-35%) due to minimal maintenance

    Market lease rates and vacancy rates are specific to each property type and geographic location, reflecting local market conditions.

    Disclaimer

    These calculations are estimates for informational purposes only and should not be used as a substitute for professional financial analysis or appraisal.

    • Cap Rate calculations depend on market data that may change over time
    • Actual operating expenses, lease rates, and vacancy rates may differ from market averages
    • Individual property conditions, lease terms, and tenant quality significantly impact actual NOI
    • Property value estimates are approximations and not official appraisals
    • Cap rates vary widely by market, property condition, and investment risk profile

    Professional Guidance Recommended: Before making any investment or financial decisions, consult with licensed appraisers, commercial real estate brokers, and financial advisors who can evaluate your specific property and circumstances.
    By using this feature, you acknowledge that Realmo is not responsible for investment decisions or actions taken based on these estimates.

    Cap approach

    Capitalization Method calculates value based on estimated net operating income (NOI) and applying a market-based capitalization rate (cap rate), we estimate what a typical investor might be willing to pay for it.

    Comparable approach

    Comparable estimate is based on recent sales of similar nearby properties, adjusted for factors like size, condition, and location.

    Relative

    Relative property class coefficient uses factors that account for typical price differences between various asset types (e.g., retail vs. industrial) to provide a more accurate market-aligned estimate.

    Geo

    Comparable Sales Method, enhanced by Geo coefficients — location-based adjustment factors that reflect differences in price levels across neighborhoods, cities, or regions ensuring a more accurate, market-sensitive valuation.

    Stat Estimate

    This method estimates value based on actual market adjusted recent (~5 years) sales of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all similar sales ($/sqft) are above this value
    • Range-to: 75% of all similar sales ($/sqft) are below this value
    AI Estimate

    This method estimates value based on AI market estimation of comparable properties around by location and property type.

    • Ranges - area data calculated by industry standard IQR Outlier Removal Method
    • Range-from: 75% of all estimations ($/sqft) are above this value
    • Range-to: 75% of all estimations ($/sqft) are below this value
    Alternative use

    Estimate considers the property’s potential value if used for a different purpose-based on zoning, demand, and market feasibility.

    More about this property
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